Data Engineer , Prime Air
Data Engineer , Prime Air
Posted on :
01-06-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 91200 - 185000
Vacancy
1 Vacancy
Posted on :
01-06-2025
Job Description
Here at Amazon we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.
Were working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation apply state-of-the-art technologies to solve real world delivery challenges and provide visible benefit to customers this is your opportunity.
Come work on the Amazon Prime Air Team!
We are looking for an analytical results-oriented self-motivated and customer-focused Data Engineer to build data pipelines develop our internal analytics infrastructure and create data models that enable internal users to gain key business insights.
The ideal candidate will have excellent analytical abilities strong technical skills and a relentless curiosity to learn. They are comfortable with working in a fast-paced dynamic environment and have experience with cloud technologies as well as with building ETL pipelines designing dimensional and reporting data models and writing adhoc SQL queries to answer stakeholder questions.
Key job responsibilities
Create ETL pipelines using SQL as well as Python within our AWS environment. Writing Python code to solve immediate problems and expanding the functionality of our data platform. Writing SQL queries to answer adhoc requests and diving deep into the data to understand trends and fix data quality issues.
About the team
We are a team comprised of data engineers and business intelligence engineers managing the entire end to end analytics lifecycle for Prime Air. We support all areas of the organization with data both regular reporting to senior leadership dashboards that provide insights into different functional areas as well as self-service mechanisms that allow users to get the data they need on their own.
- 1 years of data engineering experience
- 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Bachelors degree in a quantitative/technical field such as computer science engineering statistics
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with data modeling warehousing and building ETL pipelines
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with one or more scripting language (e.g. Python KornShell)
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91200/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Were working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation apply state-of-the-art technologies to solve real world delivery challenges and provide visible benefit to customers this is your opportunity.
Come work on the Amazon Prime Air Team!
We are looking for an analytical results-oriented self-motivated and customer-focused Data Engineer to build data pipelines develop our internal analytics infrastructure and create data models that enable internal users to gain key business insights.
The ideal candidate will have excellent analytical abilities strong technical skills and a relentless curiosity to learn. They are comfortable with working in a fast-paced dynamic environment and have experience with cloud technologies as well as with building ETL pipelines designing dimensional and reporting data models and writing adhoc SQL queries to answer stakeholder questions.
Key job responsibilities
Create ETL pipelines using SQL as well as Python within our AWS environment. Writing Python code to solve immediate problems and expanding the functionality of our data platform. Writing SQL queries to answer adhoc requests and diving deep into the data to understand trends and fix data quality issues.
About the team
We are a team comprised of data engineers and business intelligence engineers managing the entire end to end analytics lifecycle for Prime Air. We support all areas of the organization with data both regular reporting to senior leadership dashboards that provide insights into different functional areas as well as self-service mechanisms that allow users to get the data they need on their own.
- 1 years of data engineering experience
- 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Bachelors degree in a quantitative/technical field such as computer science engineering statistics
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with data modeling warehousing and building ETL pipelines
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with one or more scripting language (e.g. Python KornShell)
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91200/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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